jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = VMemoryAsso_CorrectPercent ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) | 0.500 | 0.108 | 0.121 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.892 | 8.273 | 8.273 | 1.278 | ||||||
| Note. All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety. | |||||||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.892 | 0.108 | 8.273 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | 0.065 | 0.065 | -0.067 | 0.192 | |||||||
| COVID_Grouping | 0 | 0.175 | 0.062 | 0.051 | 0.300 | ||||||
| 1 | -0.175 | 0.062 | -0.301 | -0.052 | |||||||
| Q1.01Age_Text | -0.013 | 0.004 | -0.021 | -0.005 | |||||||
| Q1.02Sex_Quantised | -0.095 | 0.107 | -0.311 | 0.115 | |||||||
| Q1.03Country_Quantised | -0.014 | 0.030 | -0.074 | 0.045 | |||||||
| Q1.08.Education_Quantised | 0.068 | 0.024 | 0.021 | 0.116 | |||||||
| Q2.04.21Depression | 0.100 | 0.161 | -0.227 | 0.422 | |||||||
| Q2.04.22Anxiety | -0.023 | 0.150 | -0.324 | 0.277 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 87 | 0.249 | 1.019 | 0.109 | 4.095 | 0.032 | 0.466 | ||||||||
| 1 | 209 | -0.104 | 0.976 | 0.067 | -9.416 | -0.237 | 0.029 | ||||||||
jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = VMemoryAsso_RTOverall ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) | 0.500 | 0.873 | 6.887 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.127 | 0.145 | 0.145 | 1.360 | ||||||
| Note. All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety. | |||||||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.127 | 0.873 | 0.145 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | -7.255×10-4 | 0.057 | -0.114 | 0.114 | |||||||
| COVID_Grouping | 0 | -0.013 | 0.061 | -0.135 | 0.111 | ||||||
| 1 | 0.013 | 0.061 | -0.112 | 0.134 | |||||||
| Q1.01Age_Text | 0.018 | 0.004 | 0.010 | 0.026 | |||||||
| Q1.02Sex_Quantised | -0.094 | 0.107 | -0.310 | 0.117 | |||||||
| Q1.03Country_Quantised | 0.029 | 0.030 | -0.033 | 0.089 | |||||||
| Q1.08.Education_Quantised | -0.004 | 0.024 | -0.052 | 0.043 | |||||||
| Q2.04.21Depression | -0.090 | 0.160 | -0.415 | 0.232 | |||||||
| Q2.04.22Anxiety | -0.237 | 0.151 | -0.541 | 0.062 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 84 | -0.065 | 0.995 | 0.109 | -15.214 | -0.281 | 0.151 | ||||||||
| 1 | 208 | 0.026 | 1.003 | 0.070 | 37.988 | -0.111 | 0.164 | ||||||||
jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = VMemoryRecog_CorrectPercent ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) | 0.500 | 0.290 | 0.408 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.710 | 2.448 | 2.448 | 1.140 | ||||||
| Note. All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety. | |||||||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.710 | 0.290 | 2.448 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | 0.044 | 0.068 | -0.089 | 0.179 | |||||||
| COVID_Grouping | 0 | 0.149 | 0.064 | 0.023 | 0.276 | ||||||
| 1 | -0.149 | 0.064 | -0.277 | -0.024 | |||||||
| Q1.01Age_Text | -0.003 | 0.004 | -0.011 | 0.005 | |||||||
| Q1.02Sex_Quantised | -0.095 | 0.108 | -0.313 | 0.117 | |||||||
| Q1.03Country_Quantised | -0.022 | 0.030 | -0.082 | 0.037 | |||||||
| Q1.08.Education_Quantised | 0.036 | 0.024 | -0.011 | 0.084 | |||||||
| Q2.04.21Depression | -0.005 | 0.162 | -0.335 | 0.321 | |||||||
| Q2.04.22Anxiety | 0.044 | 0.152 | -0.262 | 0.345 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 87 | 0.216 | 0.865 | 0.093 | 3.998 | 0.032 | 0.401 | ||||||||
| 1 | 209 | -0.090 | 1.040 | 0.072 | -11.543 | -0.232 | 0.052 | ||||||||
jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = VMemoryRecog_RTOverall ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) | 0.500 | 0.616 | 1.602 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.384 | 0.624 | 0.624 | 1.565 | ||||||
| Note. All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety. | |||||||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.384 | 0.616 | 0.624 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | -0.017 | 0.062 | -0.144 | 0.104 | |||||||
| COVID_Grouping | 0 | -0.106 | 0.062 | -0.230 | 0.017 | ||||||
| 1 | 0.106 | 0.062 | -0.018 | 0.228 | |||||||
| Q1.01Age_Text | 0.018 | 0.004 | 0.010 | 0.027 | |||||||
| Q1.02Sex_Quantised | -0.119 | 0.107 | -0.335 | 0.092 | |||||||
| Q1.03Country_Quantised | 0.019 | 0.030 | -0.042 | 0.080 | |||||||
| Q1.08.Education_Quantised | -0.027 | 0.024 | -0.074 | 0.020 | |||||||
| Q2.04.21Depression | -0.241 | 0.160 | -0.566 | 0.079 | |||||||
| Q2.04.22Anxiety | -0.021 | 0.150 | -0.322 | 0.278 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 84 | -0.175 | 0.918 | 0.100 | -5.247 | -0.374 | 0.024 | ||||||||
| 1 | 207 | 0.071 | 1.025 | 0.071 | 14.440 | -0.069 | 0.211 | ||||||||
jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = NVMemoryRecog_CorrectPercent ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) | 0.500 | 0.868 | 6.604 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.132 | 0.151 | 0.151 | 1.320 | ||||||
| Note. All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety. | |||||||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.132 | 0.868 | 0.151 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | -0.001 | 0.062 | -0.125 | 0.123 | |||||||
| COVID_Grouping | 0 | -0.020 | 0.066 | -0.151 | 0.112 | ||||||
| 1 | 0.020 | 0.066 | -0.113 | 0.149 | |||||||
| Q1.01Age_Text | -0.003 | 0.004 | -0.011 | 0.005 | |||||||
| Q1.02Sex_Quantised | -0.006 | 0.113 | -0.235 | 0.216 | |||||||
| Q1.03Country_Quantised | 0.036 | 0.031 | -0.026 | 0.098 | |||||||
| Q1.08.Education_Quantised | 0.003 | 0.025 | -0.047 | 0.052 | |||||||
| Q2.04.21Depression | -0.040 | 0.170 | -0.384 | 0.302 | |||||||
| Q2.04.22Anxiety | -0.022 | 0.158 | -0.338 | 0.292 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 83 | -0.025 | 0.957 | 0.105 | -37.829 | -0.234 | 0.184 | ||||||||
| 1 | 185 | 0.011 | 1.021 | 0.075 | 89.965 | -0.137 | 0.159 | ||||||||
jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = NVMemoryRecog_RTOverall ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) | 0.500 | 0.597 | 1.482 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.403 | 0.675 | 0.675 | 1.660 | ||||||
| Note. All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety. | |||||||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.403 | 0.597 | 0.675 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | -0.018 | 0.063 | -0.145 | 0.105 | |||||||
| COVID_Grouping | 0 | -0.109 | 0.062 | -0.233 | 0.014 | ||||||
| 1 | 0.109 | 0.062 | -0.016 | 0.232 | |||||||
| Q1.01Age_Text | 0.017 | 0.004 | 0.009 | 0.025 | |||||||
| Q1.02Sex_Quantised | -0.064 | 0.108 | -0.282 | 0.147 | |||||||
| Q1.03Country_Quantised | -0.010 | 0.030 | -0.069 | 0.049 | |||||||
| Q1.08.Education_Quantised | -0.038 | 0.024 | -0.085 | 0.009 | |||||||
| Q2.04.21Depression | -0.224 | 0.161 | -0.550 | 0.099 | |||||||
| Q2.04.22Anxiety | 0.097 | 0.151 | -0.206 | 0.398 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 86 | -0.159 | 0.918 | 0.099 | -5.765 | -0.356 | 0.038 | ||||||||
| 1 | 203 | 0.067 | 1.028 | 0.072 | 15.241 | -0.075 | 0.210 | ||||||||
jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = NVMemoryAsso_CorrectPercent ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) | 0.500 | 0.083 | 0.091 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.917 | 11.039 | 11.039 | 3.191 | ||||||
| Note. All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety. | |||||||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.917 | 0.083 | 11.039 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | 0.069 | 0.064 | -0.062 | 0.195 | |||||||
| COVID_Grouping | 0 | 0.181 | 0.062 | 0.058 | 0.307 | ||||||
| 1 | -0.181 | 0.062 | -0.308 | -0.059 | |||||||
| Q1.01Age_Text | -0.013 | 0.004 | -0.021 | -0.005 | |||||||
| Q1.02Sex_Quantised | -0.025 | 0.107 | -0.240 | 0.184 | |||||||
| Q1.03Country_Quantised | -0.015 | 0.030 | -0.075 | 0.043 | |||||||
| Q1.08.Education_Quantised | 0.049 | 0.024 | 0.002 | 0.097 | |||||||
| Q2.04.21Depression | 0.161 | 0.161 | -0.164 | 0.484 | |||||||
| Q2.04.22Anxiety | -0.334 | 0.152 | -0.640 | -0.035 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 87 | 0.238 | 1.034 | 0.111 | 4.341 | 0.018 | 0.459 | ||||||||
| 1 | 209 | -0.099 | 0.971 | 0.067 | -9.787 | -0.232 | 0.033 | ||||||||
jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = NVMemoryAsso_RTOverall ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) | 0.500 | 0.859 | 6.114 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.141 | 0.164 | 0.164 | 1.977 | ||||||
| Note. All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety. | |||||||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.141 | 0.859 | 0.164 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | -0.002 | 0.058 | -0.118 | 0.114 | |||||||
| COVID_Grouping | 0 | -0.035 | 0.062 | -0.159 | 0.089 | ||||||
| 1 | 0.035 | 0.062 | -0.090 | 0.158 | |||||||
| Q1.01Age_Text | 0.014 | 0.004 | 0.006 | 0.022 | |||||||
| Q1.02Sex_Quantised | -0.141 | 0.108 | -0.361 | 0.071 | |||||||
| Q1.03Country_Quantised | 0.007 | 0.030 | -0.054 | 0.067 | |||||||
| Q1.08.Education_Quantised | -0.030 | 0.024 | -0.078 | 0.017 | |||||||
| Q2.04.21Depression | -0.127 | 0.162 | -0.455 | 0.197 | |||||||
| Q2.04.22Anxiety | -0.115 | 0.152 | -0.421 | 0.186 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 86 | -0.058 | 1.013 | 0.109 | -17.517 | -0.275 | 0.159 | ||||||||
| 1 | 209 | 0.024 | 0.996 | 0.069 | 41.852 | -0.112 | 0.160 | ||||||||
jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = DS_MaxSpan ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) | 0.500 | 0.180 | 0.220 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.820 | 4.550 | 4.550 | 0.710 | ||||||
| Note. All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety. | |||||||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.820 | 0.180 | 4.550 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | 0.056 | 0.068 | -0.081 | 0.189 | |||||||
| COVID_Grouping | 0 | 0.166 | 0.064 | 0.039 | 0.295 | ||||||
| 1 | -0.166 | 0.064 | -0.296 | -0.040 | |||||||
| Q1.01Age_Text | -0.004 | 0.004 | -0.013 | 0.004 | |||||||
| Q1.02Sex_Quantised | -0.148 | 0.111 | -0.373 | 0.069 | |||||||
| Q1.03Country_Quantised | 0.047 | 0.030 | -0.014 | 0.108 | |||||||
| Q1.08.Education_Quantised | 0.017 | 0.024 | -0.031 | 0.065 | |||||||
| Q2.04.21Depression | 0.008 | 0.161 | -0.318 | 0.331 | |||||||
| Q2.04.22Anxiety | -0.144 | 0.151 | -0.449 | 0.157 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 84 | 0.255 | 1.151 | 0.126 | 4.522 | 0.005 | 0.504 | ||||||||
| 1 | 199 | -0.107 | 0.911 | 0.065 | -8.475 | -0.235 | 0.020 | ||||||||
jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = DS_Score ~ COVID_Grouping,
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model | 0.500 | 0.333 | 0.499 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.667 | 2.004 | 2.004 | 0.010 | ||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.667 | 0.333 | 2.004 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | 0.039 | 0.059 | -0.058 | 0.175 | |||||||
| COVID_Grouping | 0 | 0.144 | 0.063 | 0.019 | 0.268 | ||||||
| 1 | -0.144 | 0.063 | -0.269 | -0.020 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 84 | 0.215 | 1.162 | 0.127 | 5.394 | -0.037 | 0.468 | ||||||||
| 1 | 199 | -0.091 | 0.911 | 0.065 | -10.020 | -0.218 | 0.036 | ||||||||
jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = CF_CorrectExclRep ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) | 0.500 | 0.812 | 4.330 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.188 | 0.231 | 0.231 | 1.397 | ||||||
| Note. All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety. | |||||||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.188 | 0.812 | 0.231 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | -0.006 | 0.067 | -0.141 | 0.126 | |||||||
| COVID_Grouping | 0 | -0.058 | 0.074 | -0.206 | 0.092 | ||||||
| 1 | 0.058 | 0.074 | -0.093 | 0.204 | |||||||
| Q1.01Age_Text | -0.011 | 0.005 | -0.021 | -0.002 | |||||||
| Q1.02Sex_Quantised | -0.204 | 0.117 | -0.441 | 0.026 | |||||||
| Q1.03Country_Quantised | -0.087 | 0.034 | -0.155 | -0.021 | |||||||
| Q1.08.Education_Quantised | 0.080 | 0.027 | 0.026 | 0.136 | |||||||
| Q2.04.21Depression | 0.291 | 0.172 | -0.055 | 0.636 | |||||||
| Q2.04.22Anxiety | -0.030 | 0.159 | -0.351 | 0.285 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 55 | -0.120 | 0.944 | 0.127 | -7.853 | -0.375 | 0.135 | ||||||||
| 1 | 173 | 0.038 | 1.017 | 0.077 | 26.609 | -0.114 | 0.191 | ||||||||
jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = CF_repititions ~ COVID_Grouping,
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model | 0.500 | 0.649 | 1.846 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.351 | 0.542 | 0.542 | 0.024 | ||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.351 | 0.649 | 0.542 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | 0.021 | 0.054 | -0.058 | 0.172 | |||||||
| COVID_Grouping | 0 | 0.113 | 0.074 | -0.036 | 0.260 | ||||||
| 1 | -0.113 | 0.074 | -0.261 | 0.035 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 55 | 0.187 | 1.125 | 0.152 | 6.022 | -0.117 | 0.491 | ||||||||
| 1 | 173 | -0.059 | 0.953 | 0.072 | -16.042 | -0.202 | 0.084 | ||||||||
jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = CF_repititions ~ COVID_Grouping,
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model | 0.500 | 0.649 | 1.846 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.351 | 0.542 | 0.542 | 0.024 | ||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.351 | 0.649 | 0.542 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | 0.021 | 0.054 | -0.058 | 0.172 | |||||||
| COVID_Grouping | 0 | 0.113 | 0.074 | -0.036 | 0.260 | ||||||
| 1 | -0.113 | 0.074 | -0.261 | 0.035 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 55 | 0.187 | 1.125 | 0.152 | 6.022 | -0.117 | 0.491 | ||||||||
| 1 | 173 | -0.059 | 0.953 | 0.072 | -16.042 | -0.202 | 0.084 | ||||||||
jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = SynCorrPerc ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) | 0.500 | 0.562 | 1.281 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.438 | 0.780 | 0.780 | 2.838 | ||||||
| Note. All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety. | |||||||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.438 | 0.562 | 0.780 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | 0.021 | 0.064 | -0.104 | 0.152 | |||||||
| COVID_Grouping | 0 | 0.114 | 0.063 | -0.012 | 0.240 | ||||||
| 1 | -0.114 | 0.063 | -0.241 | 0.011 | |||||||
| Q1.01Age_Text | -0.012 | 0.004 | -0.020 | -0.004 | |||||||
| Q1.02Sex_Quantised | -0.148 | 0.108 | -0.366 | 0.065 | |||||||
| Q1.03Country_Quantised | -0.094 | 0.030 | -0.155 | -0.034 | |||||||
| Q1.08.Education_Quantised | 0.036 | 0.024 | -0.012 | 0.084 | |||||||
| Q2.04.21Depression | 0.252 | 0.164 | -0.078 | 0.583 | |||||||
| Q2.04.22Anxiety | -0.208 | 0.154 | -0.518 | 0.095 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 83 | 0.161 | 0.853 | 0.094 | 5.299 | -0.025 | 0.347 | ||||||||
| 1 | 199 | -0.067 | 1.050 | 0.074 | -15.630 | -0.214 | 0.080 | ||||||||
jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = Syn_RToverall ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) | 0.500 | 0.036 | 0.038 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.964 | 26.557 | 26.557 | 1.590 | ||||||
| Note. All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety. | |||||||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.964 | 0.036 | 26.557 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | -0.082 | 0.064 | -0.206 | 0.048 | |||||||
| COVID_Grouping | 0 | -0.204 | 0.063 | -0.330 | -0.077 | ||||||
| 1 | 0.204 | 0.063 | 0.076 | 0.329 | |||||||
| Q1.01Age_Text | 0.011 | 0.004 | 0.003 | 0.019 | |||||||
| Q1.02Sex_Quantised | 0.035 | 0.107 | -0.179 | 0.246 | |||||||
| Q1.03Country_Quantised | 0.056 | 0.030 | -0.004 | 0.115 | |||||||
| Q1.08.Education_Quantised | 0.022 | 0.024 | -0.025 | 0.069 | |||||||
| Q2.04.21Depression | -0.223 | 0.162 | -0.552 | 0.102 | |||||||
| Q2.04.22Anxiety | 0.067 | 0.152 | -0.240 | 0.369 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 83 | -0.330 | 0.890 | 0.098 | -2.694 | -0.524 | -0.136 | ||||||||
| 1 | 202 | 0.136 | 1.013 | 0.071 | 7.467 | -0.005 | 0.276 | ||||||||
jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = WCST_Correct ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) | 0.500 | 0.808 | 4.206 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.192 | 0.238 | 0.238 | 1.647 | ||||||
| Note. All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety. | |||||||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.192 | 0.808 | 0.238 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | 0.005 | 0.057 | -0.107 | 0.120 | |||||||
| COVID_Grouping | 0 | 0.060 | 0.060 | -0.059 | 0.180 | ||||||
| 1 | -0.060 | 0.060 | -0.181 | 0.058 | |||||||
| Q1.01Age_Text | -0.019 | 0.004 | -0.027 | -0.011 | |||||||
| Q1.02Sex_Quantised | -0.097 | 0.106 | -0.310 | 0.110 | |||||||
| Q1.03Country_Quantised | -0.059 | 0.029 | -0.118 | -8.025×10-4 | |||||||
| Q1.08.Education_Quantised | 0.105 | 0.024 | 0.058 | 0.152 | |||||||
| Q2.04.21Depression | 0.056 | 0.159 | -0.267 | 0.375 | |||||||
| Q2.04.22Anxiety | 0.141 | 0.149 | -0.158 | 0.437 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 85 | 0.078 | 0.953 | 0.103 | 12.144 | -0.127 | 0.284 | ||||||||
| 1 | 207 | -0.032 | 1.019 | 0.071 | -31.626 | -0.172 | 0.107 | ||||||||
jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = WCST_RT_correct ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) | 0.500 | 0.509 | 1.036 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.491 | 0.966 | 0.966 | 1.598 | ||||||
| Note. All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety. | |||||||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.491 | 0.509 | 0.966 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | -0.024 | 0.063 | -0.151 | 0.099 | |||||||
| COVID_Grouping | 0 | -0.119 | 0.061 | -0.239 | 0.003 | ||||||
| 1 | 0.119 | 0.061 | -0.004 | 0.238 | |||||||
| Q1.01Age_Text | 0.021 | 0.004 | 0.013 | 0.029 | |||||||
| Q1.02Sex_Quantised | -0.040 | 0.106 | -0.253 | 0.168 | |||||||
| Q1.03Country_Quantised | 0.062 | 0.030 | 0.002 | 0.123 | |||||||
| Q1.08.Education_Quantised | -0.009 | 0.023 | -0.055 | 0.038 | |||||||
| Q2.04.21Depression | -0.101 | 0.163 | -0.432 | 0.224 | |||||||
| Q2.04.22Anxiety | -0.125 | 0.150 | -0.427 | 0.171 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 85 | -0.202 | 0.994 | 0.108 | -4.921 | -0.416 | 0.012 | ||||||||
| 1 | 203 | 0.085 | 0.993 | 0.070 | 11.740 | -0.053 | 0.222 | ||||||||
jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = VMemoryRecog_RTOverall ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
isNuisance = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised"),
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised) | 0.500 | 0.543 | 1.189 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.457 | 0.841 | 0.841 | 2.267 | ||||||
| Note. All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised. | |||||||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.457 | 0.543 | 0.841 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | -0.023 | 0.064 | -0.153 | 0.101 | |||||||
| COVID_Grouping | 0 | -0.116 | 0.061 | -0.237 | 0.006 | ||||||
| 1 | 0.116 | 0.061 | -0.007 | 0.236 | |||||||
| Q1.01Age_Text | 0.019 | 0.004 | 0.011 | 0.027 | |||||||
| Q1.02Sex_Quantised | -0.121 | 0.109 | -0.338 | 0.097 | |||||||
| Q1.03Country_Quantised | 0.022 | 0.031 | -0.040 | 0.083 | |||||||
| Q1.08.Education_Quantised | -0.026 | 0.024 | -0.074 | 0.021 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 84 | -0.175 | 0.918 | 0.100 | -5.247 | -0.374 | 0.024 | ||||||||
| 1 | 207 | 0.071 | 1.025 | 0.071 | 14.440 | -0.069 | 0.211 | ||||||||
jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = VMemoryAsso_RTOverall ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
isNuisance = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised"),
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised) | 0.500 | 0.864 | 6.351 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.136 | 0.157 | 0.157 | 2.411 | ||||||
| Note. All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised. | |||||||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.136 | 0.864 | 0.157 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | -0.002 | 0.057 | -0.118 | 0.112 | |||||||
| COVID_Grouping | 0 | -0.030 | 0.060 | -0.150 | 0.092 | ||||||
| 1 | 0.030 | 0.060 | -0.093 | 0.149 | |||||||
| Q1.01Age_Text | 0.019 | 0.004 | 0.011 | 0.027 | |||||||
| Q1.02Sex_Quantised | -0.096 | 0.110 | 7.816×10-4 | 0.039 | |||||||
| Q1.03Country_Quantised | 0.033 | 0.031 | -0.030 | 0.094 | |||||||
| Q1.08.Education_Quantised | -0.003 | 0.024 | -0.052 | 0.045 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 84 | -0.065 | 0.995 | 0.109 | -15.214 | -0.281 | 0.151 | ||||||||
| 1 | 208 | 0.026 | 1.003 | 0.070 | 37.988 | -0.111 | 0.164 | ||||||||
jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = NVMemoryRecog_CorrectPercent ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
isNuisance = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised"),
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised) | 0.500 | 0.868 | 6.573 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.132 | 0.152 | 0.152 | 1.572 | ||||||
| Note. All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised. | |||||||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.132 | 0.868 | 0.152 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | -8.644×10-4 | 0.061 | -0.126 | 0.123 | |||||||
| COVID_Grouping | 0 | -0.023 | 0.064 | -0.150 | 0.106 | ||||||
| 1 | 0.023 | 0.064 | -0.107 | 0.148 | |||||||
| Q1.01Age_Text | -0.003 | 0.004 | -0.011 | 0.005 | |||||||
| Q1.02Sex_Quantised | -0.007 | 0.115 | -0.237 | 0.224 | |||||||
| Q1.03Country_Quantised | 0.039 | 0.031 | -0.023 | 0.102 | |||||||
| Q1.08.Education_Quantised | 0.004 | 0.025 | -0.047 | 0.053 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 83 | -0.025 | 0.957 | 0.105 | -37.829 | -0.234 | 0.184 | ||||||||
| 1 | 185 | 0.011 | 1.021 | 0.075 | 89.965 | -0.137 | 0.159 | ||||||||
jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = NVMemoryRecog_RTOverall ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
isNuisance = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised"),
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised) | 0.500 | 0.583 | 1.396 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.417 | 0.716 | 0.716 | 2.289 | ||||||
| Note. All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised. | |||||||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.417 | 0.583 | 0.716 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | -0.019 | 0.063 | -0.149 | 0.104 | |||||||
| COVID_Grouping | 0 | -0.111 | 0.061 | -0.232 | 0.011 | ||||||
| 1 | 0.111 | 0.061 | -0.012 | 0.231 | |||||||
| Q1.01Age_Text | 0.018 | 0.004 | 0.009 | 0.026 | |||||||
| Q1.02Sex_Quantised | -0.062 | 0.109 | -0.281 | 0.155 | |||||||
| Q1.03Country_Quantised | -0.009 | 0.030 | -0.069 | 0.050 | |||||||
| Q1.08.Education_Quantised | -0.038 | 0.024 | -0.086 | 0.009 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 86 | -0.159 | 0.918 | 0.099 | -5.765 | -0.356 | 0.038 | ||||||||
| 1 | 203 | 0.067 | 1.028 | 0.072 | 15.241 | -0.075 | 0.210 | ||||||||
jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = NVMemoryAsso_RTOverall ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
isNuisance = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised"),
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised) | 0.500 | 0.844 | 5.423 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.156 | 0.184 | 0.184 | 1.939 | ||||||
| Note. All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised. | |||||||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.156 | 0.844 | 0.184 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | -0.003 | 0.058 | -0.121 | 0.113 | |||||||
| COVID_Grouping | 0 | -0.047 | 0.061 | -0.167 | 0.076 | ||||||
| 1 | 0.047 | 0.061 | -0.077 | 0.166 | |||||||
| Q1.01Age_Text | 0.015 | 0.004 | 0.007 | 0.023 | |||||||
| Q1.02Sex_Quantised | -0.146 | 0.110 | -0.365 | 0.073 | |||||||
| Q1.03Country_Quantised | 0.010 | 0.031 | -0.051 | 0.071 | |||||||
| Q1.08.Education_Quantised | -0.030 | 0.024 | -0.079 | 0.017 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 86 | -0.058 | 1.013 | 0.109 | -17.517 | -0.275 | 0.159 | ||||||||
| 1 | 209 | 0.024 | 0.996 | 0.069 | 41.852 | -0.112 | 0.160 | ||||||||
jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = SynCorrPerc ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
isNuisance = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised"),
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised) | 0.500 | 0.585 | 1.411 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.415 | 0.709 | 0.709 | 1.829 | ||||||
| Note. All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised. | |||||||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.415 | 0.585 | 0.709 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | 0.019 | 0.064 | -0.105 | 0.148 | |||||||
| COVID_Grouping | 0 | 0.111 | 0.062 | -0.012 | 0.236 | ||||||
| 1 | -0.111 | 0.062 | -0.238 | 0.011 | |||||||
| Q1.01Age_Text | -0.012 | 0.004 | -0.020 | -0.004 | |||||||
| Q1.02Sex_Quantised | -0.155 | 0.110 | -0.375 | 0.065 | |||||||
| Q1.03Country_Quantised | -0.093 | 0.031 | -0.155 | -0.033 | |||||||
| Q1.08.Education_Quantised | 0.036 | 0.024 | -0.012 | 0.085 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 83 | 0.161 | 0.853 | 0.094 | 5.299 | -0.025 | 0.347 | ||||||||
| 1 | 199 | -0.067 | 1.050 | 0.074 | -15.630 | -0.214 | 0.080 | ||||||||
jaspAnova::AncovaBayesian(
version = "0.18.3",
formula = WCST_RT_correct ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
isNuisance = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised"),
bayesFactorOrder = "nullModelTop",
customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
descriptives = TRUE,
effects = TRUE,
posteriorEstimates = TRUE,
qqPlot = TRUE,
seed = 123,
setSeed = TRUE,
singleModelTerms = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)| Models | P(M) | P(M|data) | BFM | BF10 | error % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised) | 0.500 | 0.428 | 0.749 | 1.000 | |||||||
| COVID_Grouping | 0.500 | 0.572 | 1.336 | 1.336 | 3.855 | ||||||
| Note. All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised. | |||||||||||
| Effects | P(incl) | P(excl) | P(incl|data) | P(excl|data) | BFincl | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | 0.500 | 0.500 | 0.572 | 0.428 | 1.336 | ||||||
| 95% Credible Interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Level | Mean | SD | Lower | Upper | ||||||
| Intercept | -0.030 | 0.064 | -0.160 | 0.094 | |||||||
| COVID_Grouping | 0 | -0.128 | 0.059 | -0.247 | -0.009 | ||||||
| 1 | 0.128 | 0.059 | 0.008 | 0.246 | |||||||
| Q1.01Age_Text | 0.022 | 0.004 | 0.014 | 0.030 | |||||||
| Q1.02Sex_Quantised | -0.040 | 0.108 | -0.254 | 0.176 | |||||||
| Q1.03Country_Quantised | 0.068 | 0.031 | 0.007 | 0.129 | |||||||
| Q1.08.Education_Quantised | -0.008 | 0.024 | -0.055 | 0.039 | |||||||
| 95% Credible Interval | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID_Grouping | N | Mean | SD | SE | Coefficient of variation | Lower | Upper | ||||||||
| 0 | 85 | -0.202 | 0.994 | 0.108 | -4.921 | -0.416 | 0.012 | ||||||||
| 1 | 203 | 0.085 | 0.993 | 0.070 | 11.740 | -0.053 | 0.222 | ||||||||